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For Companies Location: London (Hybrid – typically 1–2 days per month in office)
Package: £85k base + 15% bonus
The Opportunity
Our Client is building a brand-new data platform from the ground up for a fast-growing, tech-first insurer. You’ll be joining a small but ambitious team and will play a pivotal role in shaping their entire data landscape, from infrastructure and pipelines to reporting and future data science initiatives.
The roadmap includes:
- Building sophisticated reporting solutions for the business
- Productionising algorithms into scalable reporting systems
- Laying the foundations for data science and ML initiatives already in the pipeline
Key Responsibilities
- Design, test, and deploy robust data pipelines for ingestion, transformation, and integration
- Build out scalable lakehouse architecture with Databricks
- Partner with analytics and business teams to deliver fit-for-purpose datasets
- Productionise algorithms into reporting systems
- Implement data quality and validation frameworks
- Create and maintain clear technical documentation
- Shape best practices and influence tech direction in a collaborative team environment
Skills & Experience
Essential:
- Proven experience (5+ years) as a Data Engineer, ideally building new platforms from scratch
- Hands-on with Databricks, dbt, and Azure data services
- Strong SQL and Python skills
- Track record of working with large-scale datasets and pipelines
- Excellent stakeholder engagement – comfortable in client-facing conversations
Desirable:
- Previous Insurtech or FinTech experience
- Certifications in Databricks or Azure Data Engineering (bonus)
Why Join?
- Greenfield build – huge influence on tech stack and direction
- High visibility – your work directly impacts decision-making
- Future-facing roadmap – exposure to data science & ML projects
- Small, collaborative team – autonomy with support
- Competitive package – £85k base + 15% bonus + flexible hybrid working
Sound like you? Apply now!
Data Engineer – MGA (Greenfield Build) employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your hands-on experience with Databricks, SQL, and Python, as well as any relevant projects that showcase your ability to build data platforms from scratch.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this Data Engineer role. Share specific examples of your previous work, especially in building robust data pipelines and collaborating with teams, to show how you can contribute to our greenfield project.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you have certifications in Databricks or Azure Data Engineering, mention them. Also, consider including links to any relevant projects or GitHub repositories that highlight your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it gives you a chance to explore more about our company culture!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, dbt, and Azure data services. Brush up on your SQL and Python skills too, as these will likely come up during technical discussions. Being able to demonstrate your hands-on experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and deployed data pipelines or built platforms from scratch. Think about challenges you faced and how you overcame them. This will highlight your ability to contribute to their greenfield build effectively.
✨Engage with Stakeholders
Since the role involves working closely with analytics and business teams, be ready to talk about your experience in client-facing situations. Share how you’ve successfully engaged stakeholders in the past and how you can ensure their needs are met through your data solutions.
✨Emphasise Collaboration
This position is all about being part of a small, ambitious team. Highlight your experience in collaborative environments and how you’ve influenced tech direction in previous roles. Show that you’re not just a lone wolf but someone who thrives in a team setting.
